深度学习 · generative models and autoencoders论文趋势 2023–2026

主要结论

• 深度学习 · generative models and autoencoders论文从 2023 年的 1,216 篇增长到 2026 年的 1,430 篇，三年间扩大到约 1.2 倍。
• NeurIPS 是发深度学习 · generative models and autoencoders论文最多的会议，2023–2026 年共 1,714 篇，占四个会议总量的 40%。
• 交叉方向里涨得最快的是图像生成：同时属于两个主题的论文从 2023 年的 35 篇增至 2026 年的 150 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 2；同组增长最快的扩散模型是 4.1 倍，深度学习 · generative models and autoencoders是 1.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026A Critical $\beta$-Scale for Posterior Collapse in Dirichlet $\beta$-VAEs
• ICML 2026(1D) Ordered Tokens Enable Efficient Test-Time Search
• ICLR 2026``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood
• CVPR 2026Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
• NeurIPS 2025Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
• ICML 2025A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
• ICLR 2025A Watermark for Order-Agnostic Language Models
• CVPR 2025DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
• NeurIPS 2024[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
• ICML 2024A Fixed-Point Approach for Causal Generative Modeling
• ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Kernelized Stein Discrepancy for Biological Sequences
• ICLR 2023Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
• CVPR 20233D GAN Inversion With Facial Symmetry Prior
• NeurIPS 2026Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
• ICML 2026$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
• ICLR 2026Analyzing and Evaluating Unbiased Language Model Watermark
• CVPR 2026Bidirectional Normalizing Flow From Data to Noise and Back

全部深度学习 · generative models and autoencoders论文

共 174 篇，第 3 / 4 页

101. CVPR 2026LuxRemix Lighting Decomposition and Remixing for Indoor Scenes
102. CVPR 2026Making Training-Free Diffusion Segmentors Scale with the Generative Power
103. CVPR 2026MaskDexGrasp Generative Masked Modeling for Part-Aware Dexterous Grasp Synthesis
104. CVPR 2026Masked-Diffusion Autoencoders for 3D Medical Vision Representation Learning
105. CVPR 2026MatchMask Mask-Centric Generative Data Augmentation for Label-Scarce Semantic Segmentation
106. CVPR 2026MatPedia A Universal Generative Foundation for High-Fidelity Material Synthesis
107. CVPR 2026MaxMark High-Capacity Diffusion-Native Watermarking via Robust and Invertible Latent Embedding
108. CVPR 2026MeanFlow Transformers with Representation Autoencoders
109. CVPR 2026MedLIME A Distribution-Aligned and Evidence-Supported Framework for Medical Saliency Explanations
110. CVPR 2026Mind the Generative Details Direct Localized Detail Preference Optimization for
111. CVPR 2026MorphAny3D Unleashing the Power of Structured Latent in 3D Morphing
112. CVPR 2026MSRL Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning
113. CVPR 2026Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion
114. CVPR 2026MV2UV Generating High-quality UV Texture Maps with Multiview Prompts
115. CVPR 2026Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling
116. CVPR 2026NeuROK Generative 4D Neural Object Kinematics
117. CVPR 2026Omni-3DEdit Generalized Versatile 3D Editing in One-Pass
118. CVPR 2026OntoAug Rethinking Generative Data Augmentation via Ontology Guidance
119. CVPR 2026OpenVision 2 A Family of Generative Pretrained Visual Encoders for
120. CVPR 2026Opti-NeuS Neural Reconstruction for Dual-Layered Transparent and Opaque Objects
121. CVPR 2026PGA Prior-free Generative Attack for Practical No-box Scenario
122. CVPR 2026PhyCo Learning Controllable Physical Priors for Generative Motion
123. CVPR 2026PhysVid Physics Aware Local Conditioning for Generative Video Models
124. CVPR 2026PixARMesh Autoregressive Mesh-Native Single-View Scene Reconstruction
125. CVPR 2026PnP-CM Consistency Models as Plug-and-Play Priors for Inverse Problems
126. CVPR 2026POLAR A Portrait OLAT Dataset and Generative Framework for Illumination-Aware
127. CVPR 2026PoseD-Flow Versatile and Guided Flow Matching Model of Human Pose
128. CVPR 2026Rectifying Latent Space for Generative Single-Image Reflection Removal
129. CVPR 2026Recurrent Video Masked Autoencoders
130. CVPR 2026Ref4D-VideoBench Four-Dimensional Reference-Based Evaluation of Text-to-Video Generative Models
131. CVPR 2026Refracting Reality Generating Images with Realistic Transparent Objects
132. CVPR 2026RenderFlow Single-Step Neural Rendering via Flow Matching
133. CVPR 2026Repurposing 3D Generative Model for Autoregressive Layout Generation
134. CVPR 2026Residual Connections Harm Generative Representation Learning
135. CVPR 2026RigMo Unifying Rig and Motion Learning for Generative Animation
136. CVPR 2026RoMo A Large-Scale Richly Organized Dataset and Semantic Taxonomy for
137. CVPR 2026SAGA Source Attribution of Generative AI Videos
138. CVPR 2026SAM 3D 3Dfy Anything in Images
139. CVPR 2026Sculpt4D Generating 4D Shapes via Sparse-Attention Diffusion Transformers
140. CVPR 2026SegCompass Exploring Interpretable Alignment with Sparse Autoencoders for Enhanced Reasoning
141. CVPR 2026SegQuant A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models
142. CVPR 2026SemiGDA Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
143. CVPR 2026SemLayer Semantic-aware Generative Segmentation and Layer Construction for Abstract Icons
144. CVPR 2026ShowUI-p Flow-based Generative Models as GUI Dexterous Hands
145. CVPR 2026SimLBR Learning to Detect Fake Images by Learning to Detect
146. CVPR 2026SmokeSVD Smoke Reconstruction from A Single View via Progressive Novel
147. CVPR 2026SpaceTimePilot Generative Rendering of Dynamic Scenes Across Space and Time
148. CVPR 2026SparseWorld-TC Trajectory-Conditioned Sparse Occupancy World Model
149. CVPR 2026Stable Mean Flow Lyapunov-Inspired One-Step Flow Matching
150. CVPR 2026Steering Where to Diffuse Generative Modeling of Phenotypic Response Simulation

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · generative models and autoencoders论文？

共 4,314 篇，按年份分别是 2023 年 1,216 篇、2024 年 768 篇、2025 年 900 篇、2026 年 1,430 篇。

NeurIPS 2026 有多少篇深度学习 · generative models and autoencoders论文？

NeurIPS 2026 有 349 篇深度学习 · generative models and autoencoders论文，上一届是 240 篇。

ICLR 2026 有多少篇深度学习 · generative models and autoencoders论文？

ICLR 2026 有 303 篇深度学习 · generative models and autoencoders论文，上一届是 275 篇。

ICML 2026 有多少篇深度学习 · generative models and autoencoders论文？

ICML 2026 有 604 篇深度学习 · generative models and autoencoders论文，上一届是 275 篇。

CVPR 2026 有多少篇深度学习 · generative models and autoencoders论文？

CVPR 2026 有 174 篇深度学习 · generative models and autoencoders论文，上一届是 110 篇。

哪个会议的深度学习 · generative models and autoencoders论文最多？

NeurIPS，2023–2026 年共 1,714 篇。